Una-May O'Reilly
'''Una-May O'Reilly''' is a Canadian computer scientist and leader of the Anyscale Learning For All (ALFA) group at the MIT Computer Science and Artificial Intelligence Laboratory. Provided by Wikipedia
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Coevolutionary Computation for Adversarial Deep Learning by Toutouh, Jamal, O'Reilly, Una-May
Published 2022
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Genetic Programming: A Tutorial Introduction by O'Reilly, Una-May, Hemberg, Erik
Published 2023
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Coevolutionary Computation for Adversarial Deep Learning by Toutouh, Jamal, O'Reilly, Una-May
Published 2023
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Coevolutionary Computation for Adversarial Deep Learning by Toutouh, Jamal, O'Reilly, Una-May
Published 2024
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Analyzing K-12 Blended MOOC Learning Behaviors by Gold, Robert, Hemberg, Erik, O'Reilly, Una-May
Published 2022
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Cooperative Coevolutionary Spatial Topologies for Autoencoder Training by Hemberg, Erik, O'Reilly, Una-May, Toutouh, Jamal
Published 2024
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Evolving code with a large language model by Hemberg, Erik, Moskal, Stephen, O’Reilly, Una-May
Published 2024
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Network Coding and Its Implications on Optical Networking by Medard, Muriel, Kim, Minkyu, O'Reilly, Una-May
Published 2010
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A genetic algorithm to minimize chromatic entropy by Durrett, Greg, Medard, Muriel, O'Reilly, Una-May
Published 2012
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FlexGP by Veeramachaneni, Kalyan, Arnaldo, Ignacio, Derby, Owen, O’Reilly, Una-May
Published 2016
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Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC by Burd, Hannah, Bell, Ana, Hemberg, Erik, O'Reilly, Una-May
Published 2022
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An evolutionary approach to inter-session network coding by O'Reilly, Una-May, Medard, Muriel, Traskov, Danail, Kim, Minkyu
Published 2010
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